Observer-based fault detection and diagnosis strategy for industrial processes
type: Item
instance of: scholarly article
title: Observer-based fault detection and diagnosis strategy for industrial processes
zbMATH Open document ID: 1448.93110
author: Emanuel Bernardi
author: Eduardo J. Adam
published in: Journal of the Franklin Institute
publication date: 2020-10-07T00:00:00Z
Mathematics Subject Classification ID: 93B53
Mathematics Subject Classification ID: 93C05
zbMATH DE Number: 7257590
zbMATH Keywords: fault detection and diagnosis
zbMATH Keywords: linear parameter varying systems
zbMATH Keywords: reduced-order LPV observers
describes a project that uses: YALMIP
describes a project that uses: Control System Toolbox
describes a project that uses: Matlab
describes a project that uses: LMI toolbox
describes a project that uses: Robotics
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2020.07.046
OpenAlex ID: W3045623524
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DOI: 10.1016/J.JFRANKLIN.2020.07.046
description: scientific article; zbMATH DE number 7257590